Generative AI Course: The Rise of Your AI Agent Empire

Build Nova, your own intelligent AI assistant, from first line of code to full agentic system

42 lessons across 10 modules. The first 4 lessons are free to start, no payment required.

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Syllabus

Awakening the Machine

Learn Python, the language of AI, and take your first steps toward building Nova

Building the Brain's Toolkit

Give Nova organized memory and the ability to make decisions

Leveling Up Your Powers

Build reusable abilities, unlock Python's ecosystem, and master data analysis

The Agent Awakens

Meet the machines behind Nova, from generative AI and LLMs to prompts, tools, memory, and the reflex-to-utility family of agents

Nova Reads the Archives

Retrieval-Augmented Generation: give Nova a searchable memory of LogicWizNews's private archive so she answers from real facts instead of guessing. Embeddings, semantic search, chunking, indexing, and retrieval.

Nova at Scale

Cloud deployments, production RAG pipelines, enterprise security, and memory systems that persist across sessions.

Nova Orchestrates

Reflection loops, multi-agent coordination patterns, and live RAG pipelines that keep their own index fresh.

Nova Under the Hood

Open the black box: language modeling foundations, tokenization, embeddings, attention, and how LLMs are pre-trained and fine-tuned.

Nova Builds Her Crew

Graduate from one-shot chains to stateful, looping, multi-agent systems with LangGraph: the orchestration layer behind production AI agents. Build graphs, route control, run agents in parallel, give them real tools and memory, then ship them.

Nova Finds Her Voice

Nova can read and type. Now give her ears and a mouth. Build the speech-to-text → LLM → text-to-speech voice pipeline, learn how machines turn sound into tokens, defend against voice cloning and prompt injection, put a validator agent in front of every action, and ship the whole thing as a fast, reliable, production-grade voice API.

Frequently asked questions

Is the LogicWiz Generative AI course free?

The first 4 lessons are free and need no signup. You can open them and start reading immediately. The remaining lessons require an account. See the pricing page for current access terms.

Do I need to know Python before starting?

No. The course opens with Python from scratch (variables, data structures, conditionals, loops and functions) before it touches language models, so a complete beginner can follow it end to end.

What do you actually build in the course?

You build Nova, an AI assistant, across the whole course: starting as a first Python script, gaining prompting and an agent loop, then retrieval over a private archive, then multi-agent orchestration with LangGraph, and finally a voice interface deployed as an API.

What topics does the course cover?

42 lessons across 10 modules: Python foundations, LLMs and prompt engineering, the agent loop and agent families, tool use, retrieval-augmented generation (embeddings, chunking, indexing, retrieval), LangGraph orchestration and multi-agent systems, transformer internals including tokenization and attention, and speech-to-text and text-to-speech pipelines.

What is the difference between an AI agent and a chatbot?

A chatbot completes one turn. You send text, it returns text, and control returns to your program. An agent runs a loop: it receives a goal, decides on an action, executes a tool, observes the result and decides again until the goal is met. The model, not your code, chooses the next step.

Are there hands-on exercises, or just reading?

Every lesson pairs written material with an in-browser lab containing practical exercises, plus an AI tutor you can ask questions mid-lesson.